Backend .NET Developer with Data Platform Experience

As a Backend .NET Developer with Data Platform experience, you will primarily design and build modern backend applications and services using .NET and Microsoft Azure. You will also contribute to data-driven solutions by integrating backend services with modern data platforms such as Microsoft Fabric or Databricks. This role is a good fit for an experienced backend developer who wants to broaden their experience in data engineering and work across application, integration and data platform responsibilities. You will: - Design, develop and maintain reliable, maintainable and well-tested backend applications and services using C#, .NET and Microsoft Azure - Build and integrate REST APIs, distributed services and data-driven applications - Integrate backend services with modern data platforms such as Microsoft Fabric or Databricks - Contribute to the development of data pipelines, data transformations and data integration solutions - Develop data processing, automation and integration logic using Python and SQL - Work with relational databases and modern data architectures, including data lake, lakehouse and data warehouse solutions - Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions - Work directly with technical and business stakeholders to understand and refine requirements - Collaborate closely with distributed project teams using Agile methodologies - Contribute to engineering quality through automated testing, code reviews, technical feedback and knowledge sharing - Contribute to AI-enabled solutions where relevant, particularly integrations between backend services, data platforms and Microsoft Azure AI services - Work on projects across a range of industries and business domains . Skills and experience Required skills Backend development - At least 3 years of commercial software development experience using C# and .NET - Experience building backend applications and APIs using ASP.NET Core - Experience designing and integrating REST APIs and distributed services - Practical experience with Microsoft Azure and cloud-based application development - Experience with relational databases (e.g. SQL Server / Azure SQL) - Knowledge of automated testing, clean code principles, design patterns and modern software architecture - Experience building or maintaining CI/CD pipelines using Azure DevOps or GitHub Actions Data platforms and integration - Commercial experience contributing to data pipelines, data transformations or data integration solutions - Hands-on experience with at least one of the following data platforms: - Microsoft Fabric, including Data Factory, Lakehouse or related data workloads - Databricks, preferably Azure Databricks - Practical experience using Python for data processing, automation or system integration - Strong SQL skills for querying, transforming and validating data - Understanding of core data engineering concepts, including: - ETL and ELT - Data modelling - Data quality - Data lake, lakehouse and data warehouse architectures - Data governance General - Ability to communicate clearly with both technical and business stakeholders - Willingness to work across backend development, system integration and data platform responsibilities - English language skills at B2 level or higher, as English is used in daily communication Nice to have - Experience with both Microsoft Fabric and Databricks - Practical knowledge of PySpark and Apache Spark concepts - Experience with Data Factory (Microsoft Fabric or Azure) and lake storage such as OneLake, Azure Data Lake Storage Gen2 or Delta Lake - Familiarity with Unity Catalog or similar data governance capabilities - Experience with messaging and event-driven architecture, such as Azure Service Bus or Azure Event Hubs - Familiarity with containerization and orchestration using Docker or Kubernetes - Experience contributing to AI-enabled applications or data solutions, e.g. using Microsoft AI services or Copilot Studio - Experience using AI-assisted software development tools such as GitHub Copilot, Cursor or Claude Code - Knowledge of frontend technologies such as React or Angular .